2026-10-14T19:52:47Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33904320 2026-09-17T17:32:56Z category_21 category_734 category_106 portal_5 item_type_3 month_year_09_2026

<p>Results from a survey (n = 142) on why healthcare system employees did not use or later reduced their usage of a HIPAA-compliant LLM-powered chatbot.</p> Benjamin Rader (9454975) Dinesh K. Rai (25037988) Melissa L. Stewart (11330564) Sarah Lejfer (25037991) Sampath Chennuri (25037994) James Hartwell (11611636) Victor Moyano (25037997) Max H. Witwer (25038000) Peter C. Laussen (12037148) Heather L. Nelson (25038003) John S. Brownstein (8741655) Biotechnology Biological Sciences not elsewhere classified Science Policy varying extrapolation assumptions users consumed 69 sustained internalgpt use methods case study mean productivity gain little evidence exists internalgpt ,&# 8221 30 %, corresponding compliant llm chatbot among internalgpt users system utilization data advanced ai technology engagement among non successful llm implementation 8 %), integrating 2 %) internalgpt 800 hospital employees llm chatbots increased engagement hospital systems 5 %), value proposition user education usage patterns top 20 survey responses small minority small group report survey professional roles performance concerns paper presents never used knowledge challenges key barriers frequently cited findings underscore difficulty using clinicians focused clinical augmentation 461 ), 4 %) 14 months &# 8220 <p>Results from a survey (n = 142) on why healthcare system employees did not use or later reduced their usage of a HIPAA-compliant LLM-powered chatbot.</p> 2026-09-17T17:32:44Z Dataset Dataset 10.1371/journal.pdig.0001684.t002 https://figshare.com/articles/dataset/_p_Results_from_a_survey_n_142_on_why_healthcare_system_employees_did_not_use_or_later_reduced_their_usage_of_a_HIPAA-compliant_LLM-powered_chatbot_p_/33904320 CC BY 4.0